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GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING

Autor: Orrenius, Axel, Wiebe Werner, Axel

The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online ex

Externí odkaz: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-320114

Divide-and-Learn: A Random Indexing Approach to Attribute Inference Attacks in Online Social Networks

Autor: Sanaz Eidizadehakhcheloo, Bizhan Alipour Pijani, Abdessamad Imine, Michaël Rusinowitch

Publikováno v: Data and Applications Security and Privacy XXXV ISBN: 9783030812416
DBSec
Data and Applications Security and Privacy XXXV-35th Annual IFIP WG 11.3 Conference, DBSec 2021
Data and Applications Security and Privacy XXXV-35th Annual IFIP WG 11.3 Conference, DBSec 2021, Jul 2021, Calgary, Canada
Lecture Notes in Computer Science
35th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec)
35th IFIP Annual Conference on Data and Applications Security and Privacy (DBSec), Jul 2021, Calgary, AB, Canada. pp.338-356, ⟨10.1007/978-3-030-81242-3_20⟩

Part 6: Potpourri II; International audience; We present a Divide-and-Learn machine learning methodology to investigate a new class of attribute inference attacks against Online Social Networks (OSN) users. Our methodology analyzes commenters' prefer

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::811fbe0582363279fdbce2d2908a4d0e
https://doi.org/10.1007/978-3-030-81242-3_20

Enhancing Greedy Web Proxy caching using Weighted Random Indexing based Data Mining Classifier

Autor: Julian Benadit Pernabas, Krishna Kumar Vaithinathan, Sagayraj Francis Fidele

Publikováno v: Egyptian Informatics Journal, Vol 20, Iss 2, Pp 117-130 (2019)

Web Proxy caching system is an intermediary between the Web users and servers that try to alleviate the loads on the origin servers by caching particular Web objects and behaves as the proxy for the server and services the requests that are made to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8824938e7840d7d95970ad3dd93f6b62
http://www.sciencedirect.com/science/article/pii/S1110866517300841

Rank-Level Fusion of Random Indexing, Word Embedding, and TF-IDF-Based Rankings for Clinical Document Retrieval

Autor: Sanjeev Kumar Sinha, Chiranjeev Kumar

Publikováno v: Lecture Notes in Electrical Engineering ISBN: 9789811578038

The amount of clinical data present with medical professionals is growing at a high rate. The data may be collected from clinical records, Internet, social media, and medical books to mention a few. This vast amount of voluminous structured and unstr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::39fbf3f26af12bb38d216984b976c109
https://doi.org/10.1007/978-981-15-7804-5_22